Chapter 11
Key Technologies for Big Data Stream Computing
Dawei Sun, Guangyan Zhang, Weimin Zheng, and Keqin Li
Abstract
As a new trend for data-intensive computing, real-time stream computing is gaining significant attention in the Big Data era. In theory, stream computing is an effective way to support Big Data by providing extremely low-latency processing tools and massively parallel processing architectures in real-time data analysis. However, in most existing stream computing environments, how to efficiently deal with Big Data stream computing and how to build efficient Big Data stream computing systems are posing great challenges to Big Data computing research. First, the data stream graphs and the system architecture for Big Data stream ...
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